class_docstr: The soft target CrossEntropy from timm.
  https://github.com/rwightman/pytorch-image-models/blob/e4360e6125bb0bb4279785810c8eb33b40af3ebd/timm/loss/cross_entropy.py
  It works under the mixup.
  It can calculate the crossentropy of input and label with one-hot.
code: def __init__(self):
      super(SoftTargetCrossEntropy, self).__init__()
  
imports: import logging
  from typing import Optional
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new SoftTargetCrossEntropy object from inherited base classes: nn with example: obj = SoftTargetCrossEntropy()